Frontiers in International Humanities & Social Sciences
The journal promotes and expedites the dissemination of new research results. There is an exciting and large volume of research activity in the field worldwide. The goal of this journal is to provide a platform for academicians and scientists all over the world to share, promote, and discuss various new issues and developments in different areas of Humanities & Social Sciences.
Research Review on the Breakthrough Path of Traditional SMEs’ E-commerce Under the Background of Digital Transformation
The in-depthintegration of digitaleconomy and real economy hasrestructuredthecompetition paradigm and growth logic of the e-commerce industry, driving the industry from extensive traffic expansion to a stock competition stage featuring quality improvement and efficiency enhancement. Against the backdrop of industrial iteration and upgrading,thesolidifieddevelopmentmodeloftraditionalsmallandmedium-sizedenterprises(SMEs)relyingonoffline physical operation, traditional foreign trade order receiving and extensive online bulk sales can no longer adapt to the high-quality development requirements of e-commerce. Practical dilemmas including single channel structure, severe product homogenization, weak digital operation capability and prominent resource constraints continuously restrict the transformation, upgrading and long-term development of small and medium-sized e-commerce entities. With the continuousiterationofdigitaltechnologies,theimplementationofindustrialsupportpoliciesandthein-depthupgrading of resident consumption scenarios, digital transformation has become the core approach for traditional SMEs to break throughoperationalbottlenecksandachieveindustrialbreakthroughs.Adoptingtheresearchmethodsofliteraturereview, comparative analysis and inductive summary, this paper systematically sorts out domestic and foreign research achievements on the digital transformation of SMEs’ e-commerce, clarifies the development status, transformation shackles and underlying evolution logic of traditional small and medium-sized e-commerce businesses, and conducts a panoramic review from six dimensions: industrial development trend, core transformation bottlenecks, transformation driving mechanism, operation model comparison, differentiated breakthrough paths and future development trends. By constructing two comparative analysis systems (traditional extensive e-commerce vs. digital refined e-commerce, large enterprises vs. SMEs) and combining macro industrial statistical data and industrial development characteristics, this paper intuitively reveals the differentiated endowments and existing shortcomings of SMEs’digital transformation. The research shows that the full-link and heavy-investment digital reconstruction model adopted by large enterprises is not suitable for the resource-constrained characteristics of traditional SMEs, and the incremental upgrading featuring lightweight, precision and scenario-based development is the core path adapted to the operational status of SMEs. Platform ecological empowerment, lightweight digital tool implementation, refined private domain operation, digital adaptation of supply chain and policy-ecology coordination are the key paths for small and medium-sized e-commerce businessestobreakthroughindustrialdevelopmentdilemmas.Onthebasisofsortingoutexistingresearchandanalyzing research deficiencies, this paper clarifies the future academic research directions and industrial evolution trends. The research conclusions can provide theoretical reference and practical support for the transformation practice of traditional SMEs’e-commerce, the deepening of relevant academic research and the optimization of industrial policies, andhelpsmallandmedium-sizede-commerceentitiesachievehigh-qualityandlong-termdevelopment.
traditional small and medium-sized enterprises
Copyright (c) 2026 Frontiers in International Humanities & Social Sciences
Research on the Dual-Driven Teaching Reform of "AI + Industry-Education Integration" for Intelligent Manufacturing Professional Groups in Higher Vocational Colleges
Against the dual strategic backdrop of the accelerated cultivation of new quality productive forces and the digital transformation of vocational education, the intelligent manufacturing industry has achieved comprehensive iterative upgrading relying on cutting-edge technologies such as artificial intelligence, digital twins, and industrial big data. Subversive changes have taken place in the industrial post structure, technical standards, and talent competency system, forcing higher vocational colleges to carry out systematic and in-depth teaching reforms for intelligent manufacturing professional groups. The two-way linkage of AI empowerment and in-depth industry-education integrationhasbecome acoreapproachforintelligent manufacturingprofessional groupsin highervocationalcolleges tosolvepracticaldilemmasincludingthesupply-demandmismatchintalenttraining,thelagofteachingcontentbehind industrial development, and the formalization of school-enterprise collaborative education. It also serves as a key support for constructing a digital, intelligent and modern vocational education system. Adopting the literature review method, comparative analysis method and inductive deductive method, this paper systematically sorts out the research context and practical progress of the teaching reform of "AI + industry-education integration" for domestic intelligent manufacturing professional groups in higher vocational colleges, and defines the core connotation and coupling mechanism of the dual-driven model. By constructing two groups of comparative analysis tables, this paper quantitatively compares the differentiated characteristics between the traditional teaching model and the AI-enabled dual-driven teaching model, and analyzes the advantages, disadvantages and applicable scenarios of three mainstream domestic reform paradigms. On this basis, it summarizes common problems existing in current teaching reforms, including superficial integration of AI technology, fragmented industry-education collaboration mechanisms, delayed iteration of curriculum systems, insufficient integration of virtual and physical training, weak digital and intelligent competencies of teachers, and the absence of intelligent evaluation systems. Combined with academic research achievements and industrial practical experience, this paper sorts out systematic reform paths from six dimensions: technological integration, curriculum restructuring, training upgrading, mechanism innovation, teacher training, and evaluation optimization, and prospects the future development trends of relevant reforms. This study aims to enrich the theoreticalsystemofdigitaleducationforintelligentmanufacturingprofessionalgroups,andprovidetheoreticalsupport and practical
intelligent manufacturing professional group
Research on the Collaborative Development Path of AI Teaching and Industry-Education Integration of Intelligent Manufacturing Specialty Groups in Higher Vocational Colleges
With the in-depth advancement of the new round of technological revolution and industrial transformation, the intelligent manufacturing industry is accelerating its digital and intelligent transformation, leading to a growing market demand for high-quality compound technical and skilled talents with practical capabilities. The full-scale empowerment of artificial intelligence (AI) technology has restructured the talent training logic of higher vocational education and promoted the iterative upgrading of traditional teaching paradigms. As the core carrier for higher vocational colleges to connect with the advanced manufacturing industry, the in-depth collaboration and two-way empowerment between AI teaching reform and industry-education integration are critical to resolving the structural mismatch between talent training and industrial demands and improving education quality. Adopting the research methods of literature review, comparative analysis and case study, this paper systematically sorts out domestic and foreignresearchfindingsandpracticalparadigms,andanalyzesthekeyproblemsrestrictingcollaborative development, including superficial integration, lagging curriculum system iteration, insufficient compound teachers, and imperfect long-term guarantee mechanisms. By constructing a multi-dimensional comparative model, this paper evaluates the advantages, disadvantages and applicable scenarios of differentAI teaching and industry-education integration modes. On this basis, a systematic collaborative development path is constructed from four dimensions including concept reconstruction, system optimization, mechanism innovation and resource guarantee, providing theoretical support and practical
intelligent manufacturing specialty groups
Research on AIGC Empowering E-commerce Product Innovation and Private Domain Traffic Operation Mechanism
With the in-depth evolution of the digital economy, China’s e-commerce sector has stepped out of the crude growthstagereliantontrafficdividends.Escalatingcustomeracquisitioncostsinthepublicdomain,widespreadproduct homogenization issues, and the absence of refined private-domain operational systems have become key bottlenecks restricting the sustainable growth of e-commerce enterprises. Featuring multimodal content generation, intelligent user datamining,andfull-linkautomateddecision-makingcapabilities,ArtificialIntelligenceGeneratedContent(AIGC)has thoroughly reshaped the operational paradigms of e-commerce product development and private domain traffic management. Adopting literature review, comparative analysis, and case study approaches, this paper systematically summarizes domestic and international research outcomes concerningAIGC adoption in e-commerce and establishes a closed-loop collaborative framework covering technological empowerment, product upgrading, and private domain efficiency optimization. This study elaborates on six core dimensions, including theoretical foundations, empowering mechanisms, operational restructuring, model comparison, practical obstacles, and targeted optimization strategies. Supported by quantitative comparison data, industrial statistical indicators, and typical enterprise cases, this paper clarifies the practical value and internal operational logic of AIGC deployment in e-commerce scenarios. The research findings indicate that AIGC tools can effectively shorten the research and development cycle of e-commerce products, lower the trial-and-error expenses of innovative practices, and substantially enhance the refined management level as well as conversion and repurchase performance of private domain user groups. Nevertheless, industrial-scale AIGC application still confronts prominent challenges, including homogeneous content output, latent copyright disputes, insufficient dataprivacy supervision, andunreasonable human-machinecollaborationstructures. Basedonthe research results, this study proposes multi-dimensional optimization strategies covering technological iteration, procedural standardization, compliance governance, and talent development, and forecasts future industrial development trends. This research aims to provide credible theoretical
Practical Exploration and Research Review of Color Psychology in Garment Visual Design
As the core constituent element of garment visual language, color serves as the primary visual carrier for aesthetic emotion transmission, product style shaping and cognitive guidance of consumption, and possesses powerful psychological suggestion and sensory guiding functions. As an interdisciplinary subject connecting visual aesthetics, cognitivepsychologyanddesignpractice,colorpsychologycanscientificallyexplainthemechanismofhowcoloraffects audience emotional perception, aesthetic experience, consumption decision-making and identity recognition, providing theoretical basis and quantitative guidance for modern garment visual design. To systematically clarify the application logic,practicalstatus,functionalmechanismandexistingbottlenecksofcolorpsychologyinthefieldofgarmentdesign, thispaperadoptstheliteraturereviewmethod,comparativeanalysismethodandinductivedeductivemethodtoconstruct a complete research system from six dimensions, including the theoretical basis of color psychology, the application status of garment color design, the core mechanism of psychological empowerment, differentiated scenario application comparison, practical dilemmas of design, and optimized practical paths. By sorting out the existing academic achievementsandindustrialpracticalcases,thisstudysystematicallydeconstructstheconductionpathofhue,lightness, saturationandcollocationrelationshipofcolorsonaudiencepsychologicalperception,andcomparesthepsychological adaptationdifferencesunderdiversecolorcollocationmodes,differentconsumergroupsandvariousgarmentscenarios. Itsummarizesprominentproblemsincurrentgarmentcolordesign,includingempiricaldesign,lowcolor-psychological adaptation, ambiguous scenario matching, serious homogenization and superficial emotional expression. The research indicatesthatmoderngarmentvisualdesignhastransformedfromtraditionalempiricalcolormatchingtoapsychology- drivenscientificandprecisecolormatchingsystem.Thein-depthapplicationofcolorpsychologycaneffectivelyimprove the visual appeal, emotional added value and market adaptability of garments. Based on the existing industrial pain points, this paper proposes hierarchical, classified and scenario-based optimization strategies for color design, which canprovidetheoreticalsupportandpracticalreferenceformoderngarmentvisualinnovation,personalizedcolordesign andtheconstructionofvisualsystemsforapparelbrands.
Mechanism Analysis of Private Domain Traffic Operation Empowering the E-commerce Transformation of Physical Retail Industry - A Research Review and Mechanism Deconstruction
The deep integration of the digital economy and the real economy has revolutionized traditional brick-and-mortar retail, rendering the offline passenger flow-dependent static business model increasingly obsolete. Widespread industry pain points—overreliance on public domain traffic, exorbitant customer acquisition costs, feeble user loyalty, and disconnection between online and offline operations—have severely hindered the high-quality e-commerce transition of physical retailers. Characterized by autonomous control, repeatable user outreach, low marginalcosts,andhighcustomerlifetimevalue,privatedomaintraffichasemergedasapivotalsolutionforretailersto mitigatetraffic-drivenmarketcompetitionandrealizeseamlessomni-channelgrowth.Thispaperadoptsliteraturereview, mechanism deconstruction, and comparative analysis to establish an integrated research framework encompassing research overview, transformation predicaments, empowerment mechanisms, cross-model comparisons, practical constraints,optimizationstrategies,andconcludingprospects.Drawingontwocomparativeanalyticalframeworks—one contrasting public and private domain operational models, the other examining transformation capacities of retail players of varying scales—this study systematically unpacks the internal transmission pathways through which private domain traffic facilitates physical retailers’e-commerce shift. The findings reveal that private domain traffic resolves structural transformation bottlenecks via six core channels: traffic restructuring, cost optimization, customer value maximization, cross-scenario integration, data-driven empowerment, and business model innovation. Relative to extensive public domain operations, refined private domain management better aligns with the inherent strengths of physicalretail,includingrobustofflinetrust-buildingandgeographicallyconcentratedlocalconsumerbases.Thispaper delineates prevailing research gaps and industrial transformation frictions while defining differentiated transition blueprints,offeringtheoreticalfoundationsandactionableguidelinesforthedigitalupgradingofbrick-and-mortarretail andthesystematicdeploymentofprivate domain operationalecosystems.
Inheritance and Reconstruction: A Review on the Innovative Application of Traditional Chinese Patterns in Modern Women’s Wear Design
As the core visual carrier of traditional Chinese material culture, traditional patterns embody national aesthetic paradigms, cultural connotations and craft wisdom, possessing high theoretical and practical value for the localization,characteristic developmentandbrandupgradingofmodernwomen’sweardesign.Tosystematically clarify theinnovativelogic,currentstatusandpracticalbottlenecksoftraditionalpatternsappliedinmodernwomen’swear,this paper adopts the literature review method, comparative analysis and inductive deduction to construct a research framework covering cultural connotations, artistic characteristics, practical application status, innovative mechanism, differentiated application, practical dilemmas and optimized development paths. By sorting existing academic findings andindustrialcases,thisstudysystematicallydeconstructsthemoderntransformationmechanismoftraditionalpatterns fromthedimensionsofshape,color,composition,culturalimplicationandcraft integration.Meanwhile,itcomparesthe application differences of diverse innovative methods and multi-scenario women’s wear styles, and summarizes prominent industrial problems including superficial cultural expression, serious homogenization, rigid integration and insufficient temporal adaptability. The research confirms that the modern innovation of traditional patterns is not a simple superposition of visual elements, but a systematic reconstruction based on cultural core, visual language and contemporaryaesthetics. Theconcludedinnovativepathscanprovidetheoretical
Digital Transformation of Vocational Education: Research on the Construction of AI Teaching Teams for Intelligent Manufacturing Professional Groups
Underthedualstrategicbackgroundofthecomprehensivedigitaltransformationofvocationaleducationand the rapid iterative upgrading of the intelligent manufacturing industry, artificial intelligence (AI) technology has been deeply integrated into the whole process of vocational education teaching, reconstructing the talent training mode, curriculum system and practical training ecology of intelligent manufacturing professional groups, and putting forward new digital and intelligent transformation requirements for the construction of teaching teams in higher vocational colleges. As the core carrier for cultivating digital and intelligent technical and skilled talents in the manufacturing industry,theintelligentmanufacturing professional groupdeterminesthe adaptationqualitybetween talenttrainingand industrial posts by virtue of the teaching team’s capabilities in digital intelligence application, interdisciplinary integration and industry-education collaboration. At present, the construction of AI teaching teams in domestic higher vocational colleges is in the initial exploration stage, with common problems including solidified team structure, insufficient digital intelligence literacy of teachers, superficial industry-education integration, lagging assessment and incentive mechanisms, and weak resource support systems. Adopting the research methods of literature research, comparative analysis and inductive deduction, this paper systematically sorts out relevant research achievements and practicalstatusquo,definesthecoreconnotationandconstructionlogicofAIteachingteams,quantitativelyanalyzesthe differences, advantages and disadvantages between new and old teaching teams as well as mainstream construction modes through two groups of comparative tables, and deeply explores the practical dilemmas in team construction. On this basis, it constructs a systematic construction path from multiple dimensions including structure, literacy, collaboration, evaluation andresources, and prospects the futuredevelopment trends of the industry.The research aims toimprovethetheoreticalsystemofdigitalteacherconstructioninvocationaleducation,andprovidetheoreticalsupport andpracticalreferenceforthecultivationofhigh-levelAIteachingteams,thedigitaltransformationofteachersandthe high-quality training of digital intelligent talents for intelligent manufacturing professional groups in higher vocational colleges.
Research on the Development Trends of Green Power in the New Era
Against the dual backdrop of the steady advancement of global climate governance and the in-depth evolution of the energy revolution, green power has gradually emerged as the core backbone supporting China in advancing the strategic goals of carbon peaking and carbon neutrality, with its development level directly shaping the realization path and progressive effectiveness of the "dual carbon" vision. From the macro perspective of energy structure transformation, this paper systematically traces the evolutionary context and in-depth deepening process of the core connotation of green power, focusing on four core development trends-grid connection and consumption of high-proportion renewable energy. pathways to enhance the flexibility of power systems, refinement of market-oriented allocation mechanisms, and empowerment of digital technological innovation to conduct systematic analysis and in-depth exploration. Studies indicate that green power is currently breaking free from the constraints of the traditional single supply model, moving toward a systematic development paradigm featuring full-chain coordinated linkage of "source-grid-load-storage". This transformative process is not only an indispensable requirement for optimizing the energy structure, but also a pivotal link in constructing a new power system. From the perspective of future development orientation, to accelerate the high-quality development of green power and build a safe, reliable, low-carbon, efficient, and intelligently coordinated new power system, it is imperative to establish a coordinated effort pattern across three key dimensions: breakthroughs in core technological R&D, improvement of institutional and mechanism innovation, and consolidation of policy system guarantees. Through multi-dimensional and coordinated measures, we can address the technical bottlenecks, institutional obstacles, and policy deficiencies in the development process, thereby providing robust driving force for the timely achievement of the "dual carbon" goals.
A Review of Research on the Reform of Higher Vocational Education Model Based on Job Competence Under the Background of New Engineering
As a strategic measure for China to respond to the new round of technological revolution and industrial transformation, New Engineering construction is promoting the in-depth transformation of higher education towards industry-education integration and knowledge-practice unification. As the core carrier for cultivating high-quality technical and skilled talents, the higher vocational education model must accurately adapt to the ability requirements of industrial positions in the New Engineering context. Reconstructing the talent training system oriented by job competence has become the core breakthrough for higher vocational education reform. Focusing on the core connotation of New Engineering and the key requirements of job competence, this study systematically sorts out the development status and existing dilemmas of the higher vocational education model under the New Engineering background, focuses on summarizing reform research results in six core fields: talent training objectives, curriculum system, teaching model, teaching staff, evaluation system and industry-education integration, summarizes the weaknesses of current research and future development trends, provides theoretical support and practical guidance for subsequent higher vocational education model reform practices, and helps higher vocational education cultivate more high-quality technical and skilled talents meeting the needs of New Engineering industries.
Research on the Development Trends of Higher Vocational Education Driven by Artificial Intelligence
The integration of artificial intelligence and higher vocational education is reshaping the educational ecosystem at an unprecedented pace. This article aims to systematically delineate the core development trajectory and realistic landscape of Al-driven higher vocational education. Relevant data indicates that the application of artificial intelligence in China's higher vocational colleges has entered a phase of large-scale exploration approximately half of these institutions have introduced general Al courses, and over two-thirds are utilizing Al to assist in teaching. At a deeper logical level, this process is propelling a triple transformation in vocational education: the educational philosophy shifting from knowledge transmission to competency-orientation, the teaching paradigm transitioning from experience-driven to data-driven approaches, and the ecosystem evolving from fragmented operations to intelligent synergy. At the level of practical teaching, the traditional dual structure of teacher-student interaction is gradually giving way to a new tripartite model of "teacher-Al-student" engagement. In the dimension of talent cultivation, the development of "AI+X" competencies has become the core orientation, emphasizing the deep integration of technological instrumentality with professional scenarios and advancing teaching towards a "code-free, tool-based, scenario-oriented" direction. The integration of industry and education is also undergoing profound changes: the supply of teaching resources is shifting from a school-dominated "supply side" to an enterprise-needs-oriented "demand side," with 60% of vocational colleges now engaged in school-enterprise collaborative curriculum development. Of course, this journey is not without challenges. The gradient in Al literacy between teachers and students, the superficial integration of technology and teaching, insufficient infrastructure support, and the accompanying ethical and security considerations remain key bottlenecks constraining the deep empowerment of artificial intelligence. Looking ahead, with continuous breakthroughs in key technologies such as generative Al, intelligent agents, and virtual simulation, higher vocational education is poised to advance toward a higher-quality development stage, driven by the dual engines of "intelligent empowerment" and "industry-education collaboration." The ultimate benchmark for success will return to the most fundamental question: whether students can apply what they have learned and solve real-world problems
The Research on the Selection and Optimization of Policy Instruments for Promoting Artificial Intelligence in China's Primary Healthcare
Primary healthcare serves as the foundational network of China's medical and health service system. Artificial intelligence technology provides a new pathway to address core challenges such as shortages of primary healthcare resources, insufficient service capacity, and uneven regional development. Policy instruments are the key lever for promoting the implementation and adoption of Al in primary healthcare. Based on the Rothwell & Zegveld policy instrument classification framework, this paper constructs a three-dimensional analytical system comprising supply-side, demand-side, and environmental instruments. It reviews policy texts related to Al in primary healthcare in China since 2017 and analyzes the structural characteristics and practical dilemmas in the selection of current policy instruments. The study finds that the policy instruments for promoting Al in China's primary healthcare suffer from notable issues, including structural imbalance, insufficient cross-sector collaboration, lack of precise adaptability, and weak implementation support. Accordingly, this paper proposes systematic optimization pathways from four aspects: optimizing the structure of policy instruments, strengthening multi-dimensional collaboration, enhancing differentiated adaptation capabilities, and consolidating the supporting system. These recommendations aim to provide theoretical reference and practical guidance for promoting the high-quality adoption of Al in China's primary healthcare, strengthening the foundation of primary health services, and advancing the Healthy China Initiative.
The Impact of FoMO-AI on Management Resilience Among Teaching Administrators
The deep embedding and systematic reshaping of education by artificial intelligence have led teaching administrators to increasingly experience a novel form of occupational anxiety fear of missing out on artificial intelligence developments, termed FoMO-AI. How this technological anxiety influences their management resilience, and the moderating role perceived organizational support plays in this dynamic, has emerged as a cutting-edge issue in educational management research. This paper systematically traces the conceptual origin and definitional boundaries of FoMO-Al, reviews the theoretical evolution and core dimensions of management resilience, and elucidates the theoretical foundation and mechanisms of perceived organizational support. Building upon this analysis, a theoretical integrative framework of "FoMO-AI-Management Resilience-Perceived Organizational Support" is constructed, revealing the potential non-linear relationship between FoMO-AI and management resilience, as well as the boundary-moderating function of perceived organizational support within this relationship. The paper further identifies existing gaps in current research, particularly concerning conceptualization and operationalization, the exploration of mediating mechanisms, and empirical validation. Future research should prioritize the development and validation of FOMO-Al measurement tools, delve into the mediating pathways through which it affects management resilience, and expand longitudinal tracking and cross-cultural comparative studies. Such efforts aim to provide a solid theoretical reference and evidence-based foundation for educational institutions to build supportive organizational environments amidst the process of digital transformation.
The Academic Journal of Humanities & Social Sciences
Artificial intelligence technology is systematically reshaping the underlying logic and competitive paradigms of the e-commerce industry with unprecedented depth and breadth. This paper aims to provide a systematic review of the primary evolutionary paths and core trends in e-commerce development driven by artificial intelligence. Research indicates that the global market size for artificial intelligence in the retail e-commerce sector is projected to grow from $19.98 billion in 2025 to $398.65 billion in 2034, representing a compound annual growth rate of 40.3%. Within this trajectory, the role of AI in the e-commerce field is undergoing a fundamental transformation from an "assistive tool" to an "autonomous agent," with "Agentic Commerce" progressively moving from the conceptual stage towards practical implementation. At the operational level, the competitive focus of e-commerce enterprises is shifting from traffic acquisition to data quality and structuring capabilities, consequently driving the evolution of operational paradigms from traditional Search Engine Optimization (SEO) to Generative Engine Optimization (GEO). In the value dimension, artificial intelligence is driving the e-commerce industry's transition from "price-based competition" to "value-based competition," reshaping core competitiveness across critical aspects such as product quality, service experience, and supply chain efficiency. Although AI shopping agents still face multiple practical challenges related to consumer acceptance, technological maturity, and data privacy protection, their penetration into the e-commerce industry chain has demonstrated an irreversible trend. Looking forward, with continuous breakthroughs in generative AI, intelligent agents, digital twins, and other technologies, e-commerce is expected to further evolve into a new phase characterized by "intelligent drive, full-chain collaboration, and symbiotic experience."
The Research on Development Trends of AI-Driven Mobile Communication Technology
The deep integration of artificial intelligence and mobile communication technology is reshaping the information and communication industry at a visible pace-not only the technology itself but also the underlying business logic is being overturned and rebuilt. The starting point of this discussion is the core logic of "bidirectional empowerment." Following this thread, we can examine layer by layer: networks are becoming increasingly intelligent, connectivity capabilities are being continuously redefined, and future-oriented 6G native design-all these are key dimensions driving transformation. Of course, the road ahead is never smooth-business model transformation, security governance challenges, and global coordination difficulties are all structural hurdles that cannot be avoided. A clear trend is emerging from these analyses: mobile communication networks are accelerating toward a historic inflection point-transforming from a mere "pipeline" focused solely on connectivity into a true "foundation" capable of supporting intelligence. By the time we enter the 6G era, AI-native will become the core design principle of networks. As for how deep and how fast this integration can ultimately go, it hinges on whether the restructuring of the industrial ecosystem can keep pace and whether innovations in business models can be effectively implemented. These two factors will be the decisive variables that determine success or failure.
The Impact of Artificial Intelligence Technology on the Development of Journalism and Media
Artificial intelligence technologies are increasingly permeating the operational fabric of the journalism and media industry, systematically restructuring the fundamental modalities of content production, distribution, and human-machine dynamics. By synthesizing recent research findings, this paper seeks to present a complex and multidimensional picture of this transformation. The study reveals that AI has evolved from an initial auxiliary tool into a collaborative partner exhibiting characteristics of a "quasi-subject," with its application in news production undergoing a progressive transition from commensalistic to mutually beneficial symbiotic relationships. At the distribution level, while algorithmic recommendation mechanisms enhance the efficiency of matching content with users, they also ignite deep-seated controversies concerning "filter bubbles" and privacy boundaries. A more profound transformation lies latent within human-machine relations-machines are gradually shifting from passive tools to "quasi-agents" with limited agency, prompting a re-evaluation of the professional identity and agency of practitioners. Concurrently, technological risks such as "AI hallucinations," algorithmic black boxes, and value biases have emerged, necessitating the construction of a multi-stakeholder governance framework to guide the restraint and transcendence of instrumental rationality by value rationality. This paper argues that AI's impact on journalism and media is not a unidirectional technological implantation, but rather a profound dialogue and adaptation involving production logic, power structures, and professional ethics. Its future trajectory will ultimately depend on whether humans and machines can achieve a new equilibrium through dynamic, symbiotic evolution.
The Impact of Artificial Intelligence Technology on the Development of New Energy
Artificial intelligence is quietly reshaping the landscape of the new energy sector. This article systematically reviews how Al technology is "taking root" in the field of new energy from national top-level design to specific power generation and dispatch scenarios, and onward to what the future might hold. Let's start with the big picture. According to the national "Implementation Opinions on Promoting the High-Quality Development of Artificial Intelligence +Energy, by 2027, we aim to preliminarily establish an innovation framework integrating energy and Al; by 2030, China's Al technologies and applications in the energy sector are expected to reach world-leading levels. These goals are quite concrete, providing both a timeline and a clear roadmap. When it comes to specific applications, Al's reach has extended into every corner of the new energy landscape: from power forecasting and intelligent operation and maintenance, to grid dispatch and virtual power plants, and on to energy storage optimization-Al's presence can be felt in virtually every link. For instance, using Al for power forecasting can push accuracy above 95%; intelligent O&M has made the concept of "unattended operations" a reality grid dispatch response times have been compressed from five minutes to 90 seconds. These aren't just theoretical they're delivering tangible results: operational efficiency is up, and reliability is more solid. Of course, the path of technological application hasn't been entirely smooth. Right now, there are several tough challenges that can't be ignored. First, there's the technology itself: the "black box" problem with algorithms hasn't been fully resolved, and they can still stumble in extreme scenarios. Second, there are data barriers everyone guards their own turf, and data sharing mechanisms have yet to gain traction. Third, there's energy consumption: large models are power-hungry, which actually runs somewhat counter to our energy-saving and carbon-reduction goals. Beyond these, information security risks and a shortage of interdisciplinary talent are also hurdles that can't be sidestepped. At the end of the day, if we want Al to truly take on the heavy lifting in the new energy sector, these are challenges we have to confront head-on[1]. Taking a longer-term view, the direction is actually quite clear. With continued breakthroughs in trustworthy Al technologies, the deepening integration of digital twins and large models, and the gradual alignment of "computing power" and "electricity" coordination mechanisms, the energy system of the future is likely to move toward "second-level response, autonomous optimization, and panoramic visibility." By then, Al will no longer be just a nice-to-have add-on-it will be embedded naturally into every corner of the energy system, much like water and electricity.
Development and Applications of Artificial Intelligence in Medical Surgical Robotics
With the continued advancement of minimally invasive surgery, precision medicine, and intelligent healthcare, medical surgical robots are rapidly evolving from conventional mechanical execution platforms into intelligent clinical assistance systems. The integration of artificial intelligence (AI) into perception, recognition, decision support, control, and feedback has significantly improved surgical precision, stability, and safety, while also creating new technical pathways for standardizing complex procedures, reducing operator burden, and expanding access to high-quality medical services. Based on a review of the system architecture of medical surgical robots and the theoretical foundations of Al, this paper systematically analyzes the roles of Al in preoperative planning, intraoperative navigation and operation assistance, and postoperative assessment and training feedback. Typical clinical scenarios, including laparoscopic surgery, orthopedics, neurosurgery, and vascular intervention, are further discussed to illustrate application value and technical characteristics. In addition, key challenges are examined, including data quality and heterogeneity, model generalization and real-time deployment, safety and reliability, ethical and regulatory constraints, and barriers to industrial translation. Corresponding development directions are proposed, including multimodal fusion, physician-led human-robot collaboration, data closed-loop learning with multicenter validation, standardized evaluation frameworks, and coordinated advancement among academia, industry, healthcare institutions, and regulators. Overall, Al is expected to continue driving medical surgical robotics from mechanical assistance toward intelligent assistance and higher-level collaborative operation.
Research on the Innovative Development Path of Vocational Education Specialties under the Background of New Engineering
Under the background of the construction of new engineering disciplines, the research on the innovative development path of vocational education specialties has become an important topic for promoting industrial upgrading and social economic development. Based on policy orientations such as the "Fudan Consensus", "Tianjin University Initiative", and "Beijing Guidelines", and in combination with the core connotations of interdisciplinary integration of new engineering, technological innovation, and the cultivation of practical abilities, this article An in-depth analysis of the practical problems existing in vocational education in terms of professional setting, curriculum system, teaching staff. practical teaching and evaluation system, such as disconnection from industrial demands, lagging updates, weak construction, insufficient conditions and incomplete system. By proposing strategies such as innovative talent cultivation models, building a platform for cooperative education among the government, schools and enterprises, promoting the construction of new majors and the transformation of old ones, and strengthening the introduction and training of teachers, the practical paths for the innovative development of vocational education majors are explored. The research results show that vocational education needs to closely align with the development trend of new engineering disciplines, deepen the integration of industry and education, optimize the professional structure and curriculum system, enhance the comprehensive quality of the teaching staff. improve the conditions for practical teaching, and perfect the talent cultivation and evaluation system, in order to cultivate high-quality technical and skilled talents that meet the demands of emerging industries. Provide solid talent support for industrial technological innovation and high-quality social and economic development.
Copyright (c) 2025 Frontiers in International Humanities & Social Sciences
Research on the Application of Hanfu Elements in Modern Clothing Design
This article focuses on the application research of Hanfu elements in modern clothing design. Hanfu carries profound historical and cultural heritage as well as aesthetic wisdom. Integrating it into modern clothing design is of great significance. It helps to inherit and innovate culture, promote the diversified development of the fashion industry, facilitate the multi-faceted integration and harmonious development of social culture, and also has educational significance. The research review indicates that the application scope of Hanfu elements is extensive, covering areas such as daily wear, evening gowns, stage performances, and sportswear. The design techniques are diverse, including direct citation, deconstruction and recombination, and abstract refinement. The academic circle conducts research from multiple perspectives, but it also faces problems such as insufficient understanding of designers' culture, uneven product quality, and the lack of intellectual property protection. Current situation analysis shows that Hanfu elements in modern clothing design present characteristics such as the symbiotic integration of traditional aesthetics and modern fashion, the diverse presentation of cultural symbols and individual expressions, the coordinated development of craftsmanship inheritance and innovative design, and the organic integration of national spirit and international perspective. The research and practice content covers the innovative application of Hanfu elements in style design, the wonderful presentation of patterns in modern clothing decoration, and the unique application of colors in modern clothing color matching. Through these explorations, references are provided for the further development of Hanfu elements in modern clothing design, contributing to the inheritance of traditional culture and the innovation of the fashion industry.
Research on cultivating students' information literacy in the teaching of advanced mathematics in colleges
Cultivating the information literacy of college students is essential for their comprehensive development in higher education institutions. This article begins by analyzing the meaning of information literacy and then highlights the necessity of cultivating information literacy in advanced mathematics teaching in colleges. Finally, it proposes several strategies, including developing multimedia courseware, stimulating students' interest in learning, enhancing the information literacy of vocational college mathematics teachers, organizing mathematical modeling competitions, integrating information literacy education into mathematical modeling education, and emphasizing the cultivation of students' information ethics.
Analysis of the Debt-paying Ability and Countermeasures of a Certain Energy Company
This article conducts an in-depth analysis of the debt-paying ability of a certain energy company. Based on financial data, it is revealed that it has prominent problems such as a persistently high debt-to-asset ratio, short-term debt repayment indicators lower than the industry safety threshold, an imbalance between debt maturity structure and capital ratio, and poor stability of cash flow. These issues have led to an increase in the enterprise's financial risks, pressure on financing costs, and potential fluctuations in credit ratings, thereby hindering business expansion and market competitiveness. In response to this, this paper proposes countermeasures from aspects such as strengthening the dynamic monitoring of liquidity and the efficiency of asset realization, optimizing the debt-to-equity ratio and the combination of financing tools, strictly controlling the cost of financial leverage and operating expenses, and establishing a cash reserve redundancy and emergency dispatch mechanism. The aim is to systematically enhance financial flexibility, assist enterprises in building a solid risk barrier in the wave of energy transition, and achieve high-quality development.
Discussion on the Reform Path of Modern Vocational Education from the Perspective of Industry-Education Integration
Under the wave of the digital economy, technological fission and industrial reconstruction have forced vocational education to break through the dual fragmentation of "education - industry", and its reform effectiveness has become a key variable in the competition for national technological sovereignty and the guarantee of industrial security. This article focuses on three major propositions: the collaborative breakthrough of "technology talent", the reengineering of social mobility mechanisms, and the reconstruction of global industrial chain rules. It proposes a reform path targeted at "the integration of the four chains" By building a digital twin platform of "dynamic perception of industrial demand - real-time response of educational supply", it breaks the information cocoon and cognitive lag between schools and enterprises. Taking the "industry college" as the fulcrum, embedding the real R&D scenarios and production processes of enterprises, a symbiotic mechanism is formed where "technological iteration drives course evolution and teaching scenarios feed back to process innovation". Innovate the mutual recognition system of "dual positions and three roles" (teacher engineer - technology broker), and open up the transformation channel between the accumulation of technical skills and industrial innovation; Establish a three-dimensional evaluation system of "technology contribution rate + job competence + social service efficiency", and promote vocational education to shift from "talent matching" to "value symbiosis". The "multi-party co-governance" model of China's integration of industry and education is exporting Chinese standards through carriers such as the "Lu Ban Workshop", providing a new paradigm of "education chain - industrial chain" co-evolution for the modernization of global vocational education.
Cost management in a government infrastructure project
This study explores cost management in government infrastructure projects, analyzes the composition of direct/indirect costs, and proposes lifecycle management strategies (reserving 15%-20% contingency funds in the planning phase, setting cost evaluation weights in bidding, implementing information-based monitoring during construction, and controlling operation and maintenance costs in the operational phase). Using the Beijing Daxing International Airport case, it validates the role of lifecycle management in resource optimization and cost-effectiveness. Recommendations include strengthening risk assessment, adopting technological applications, and promoting multi-stakeholder collaboration.
The Power Reconstruction of the Gaze: A Postcolonial Re-examination of Orientalist Painting
This paper takes Gérôme's A Roman Slave Market as its research object, employing postcolonial theory to re-examine the power mechanisms behind the "gaze" in 19th-century Orientalist painting. Drawing on Edward Said's "Orientalism" and Michel Foucault's analytical framework of the "gaze," it reveals how the artwork constructs the Orient as an exoticized and gendered "Other" through visual coding and spatial narratives, thereby serving the ideological needs of Western colonial expansion. Orientalist painting is not merely an aesthetic practice but also a visual vehicle of cultural hegemony. Through "visual violence," it naturalizes colonial logic, reinforces the East-West binary, and provides pathways for reflecting on the colonial legacy in art history.